Application of PBIL to the optimisation of PSS tuning

被引:0
|
作者
Chen, L [1 ]
Petroianu, A [1 ]
机构
[1] Univ Cape Town, Dept Elect Engn, ZA-7701 Rondebosch, South Africa
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A Sub-optimal H infinity PSS tuning method has been developed recently. This method can improve overall damping factor and robustness by using the existing PSS structure. One of the optimisation methods applied to this tuning procedure was Sequential Quadratic Programming (SQP). Since SQP only deals with convex problems, it is not suitable for multi-machine power systems. To address the shortcomings of the method an optimisation method called PBIL (Population based incremental learning) with the key features of its ability to optimise non-convex multi-variable problems has been applied to the tuning method developed.
引用
收藏
页码:834 / 838
页数:5
相关论文
共 50 条
  • [1] Effect of learning rate on the performance of a pss based pbil
    Folly, K. A.
    [J]. PROCEEDINGS OF THE SIXTH IASTED INTERNATIONAL CONFERENCE ON MODELLING, SIMULATION, AND OPTIMIZATION: SCIENCE AND TECHNOLOGY FOR DEVELOPMENT IN THE 21ST CENTURY, 2006, : 62 - 68
  • [2] Bacteria foraging optimisation algorithm for tuning of PSS and STATCOM-based controller parameters
    Panda, Sidhartha
    Mohanty, P. K.
    Sahu, B. K.
    [J]. INTERNATIONAL JOURNAL OF DATA MINING MODELLING AND MANAGEMENT, 2013, 5 (04) : 351 - 369
  • [3] D-decomposition Application for PSS Tuning Parameters Estimation
    Tashchilin, Valeriy
    Idrisov, Rinat
    Chusoitin, Pavel
    Pazderin, Andrey
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON THE SCIENCE OF ELECTRICAL ENGINEERING (ICSEE), 2016,
  • [4] Application of ANN and ANFIS techniques for PSS tuning in a multimachine power system
    Kahouli, Omar
    Alshammari, Badr
    Dhouib, Bilel
    [J]. 2019 16TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD), 2019, : 435 - 440
  • [5] Application of PBIL algorithm on timetable problems
    Jin, Bingyao
    Wei, Chengjian
    He, Zhenya
    [J]. Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2000, 20 (05): : 104 - 108
  • [6] Application of Self-Adaptive Differential Evolution to tuning PSS parameters
    Mulumba, T.
    Folly, K. A.
    [J]. 2012 IEEE POWER ENGINEERING SOCIETY CONFERENCE AND EXPOSITION IN AFRICA (POWERAFRICA), 2012,
  • [7] Application of PBIL algorithm on timetable problems
    [J]. 2000, Systems Engineering Society of China, China (20):
  • [8] PSS and FDS simultaneous tuning
    Ramírez, JM
    Castillo, I
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2004, 68 (01) : 33 - 40
  • [9] A quantitative design approach to PSS tuning
    Rao, PS
    Boje, ES
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2005, 73 (03) : 249 - 256
  • [10] Application of a Basic Variable Neighborhood Search Algorithm in the Coordinated Tuning of PSS and POD Controllers
    Gamino B.R.
    de Araujo P.B.
    [J]. Journal of Control, Automation and Electrical Systems, 2017, 28 (4) : 470 - 481